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    "<table class=\"ee-notebook-buttons\" align=\"left\">\n",
    "    <td><a target=\"_blank\"  href=\"https://github.com/giswqs/earthengine-py-notebooks/tree/master/Algorithms/landsat_path_row_limit.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/Algorithms/landsat_path_row_limit.ipynb\"><img width=26px src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png\" />Notebook Viewer</a></td>\n",
    "    <td><a target=\"_blank\"  href=\"https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/Algorithms/landsat_path_row_limit.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /> Run in Google Colab</a></td>\n",
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   "source": [
    "## Install Earth Engine API and geemap\n",
    "Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.\n",
    "The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet."
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "# Installs geemap package\n",
    "import subprocess\n",
    "\n",
    "try:\n",
    "    import geemap\n",
    "except ImportError:\n",
    "    print('Installing geemap ...')\n",
    "    subprocess.check_call([\"python\", '-m', 'pip', 'install', 'geemap'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "import ee\n",
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create an interactive map \n",
    "The default basemap is `Google Maps`. [Additional basemaps](https://github.com/giswqs/geemap/blob/master/geemap/basemaps.py) can be added using the `Map.add_basemap()` function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "Map = geemap.Map(center=[40,-100], zoom=4)\n",
    "Map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add Earth Engine Python script "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add Earth Engine dataset\n",
    "point = ee.Geometry.Point(-98.7011, 47.2624)\n",
    "collection = ee.ImageCollection('LANDSAT/LC8_L1T_TOA') \\\n",
    "  .filterBounds(point) \\\n",
    "  .filterDate('2016-01-01', '2018-12-31')\n",
    "\n",
    "# print(collection)\n",
    "\n",
    "new_col = ee.Algorithms.Landsat.pathRowLimit(collection, 15, 100)\n",
    "# print(new_col)\n",
    "\n",
    "median = new_col.median()\n",
    "vis = {'bands': ['B5', 'B4', 'B3'], 'max': 0.3}\n",
    "\n",
    "Map.setCenter(-98.7011, 47.2624, 10)\n",
    "Map.addLayer(median, vis, 'Median')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Display Earth Engine data layers "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Map.addLayerControl() # This line is not needed for ipyleaflet-based Map.\n",
    "Map"
   ]
  }
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